Sökning: "Simon Larspers Qvist"

Hittade 1 uppsats innehållade orden Simon Larspers Qvist.

  1. 1. A Performance Comparison of the Single Object Tracking Algorithms ROLO and Tiny-ROLO

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Simon Larspers Qvist; Beata Johansson; [2022]
    Nyckelord :;

    Sammanfattning : Object tracking in videos is an extension of ordinary object detection, to continuously predict and follow the objects’ path of motion. The Recurrent YOLO (ROLO) algorithm is a two-stage tracking algorithm that utilizes deep neural networks to track objects in image sequences. LÄS MER